Noorulden Basil Mohamadwasel was born in Baghdad, Iraq November 11, 1993. He is ( in Electrical and Computer Engineering, Istanbul Altinbas University, Istanbul, Turkey. He has gotten a Master of Science (M.Sc.) in Electrical and Computer Engineering, Istanbul Altinbas University, Istanbul, Turkey in 2019. He acquired the Bachelor of Science (B.Sc.) in Computer Techniques Engineering, Al-Esraa University College, Baghdad, Iraq in 2016 and he had published more than 24 Research Article and a book and a Reviewer in 6 Journals, Editor in 2 Journals and the following his google scholar:
EDUCATION
He has gotten a ( in Electrical and Computer Engineering, Istanbul Altinbas University, Istanbul, Turkey at 20/05/2022. He has gotten a Master of Science (M.Sc.) in Electrical and Computer Engineering, IstanbulAltinbas University, Istanbul, Turkey in 2019. He acquired the Bachelor of Science (B.Sc.) in Computer Techniques Engineering, Al-Esraa University College, Baghdad, Iraq in 2016.
RESEARCH INTERESTS
Control Systems, Model and Identification, Autonomous and Robotic Systems, Optimization Techniques, Fiber Optic, Antenna Propagation, Networking.
36
Scopus Publications
1416
Scholar Citations
27
Scholar h-index
33
Scholar i10-index
Scopus Publications
Deep Learning-Based Monitoring System to Enhance IoT Network Performance Radhi Sehen Issa, Gregor Alexander Aramice, Noorulden Basil, Mustafa Mahdi Ali, Takele Ferede Agajie, Alfian Ma’arif Journal of Engineering and Sustainable Development, 2026 The rapid growth and increasing complexity of Internet of Things (IoT) networks require efficient real-time monitoring and anomaly detection mechanisms. Traditional machine learning approaches often struggle to handle the dynamic and high-dimensional traffic generated by IoT environments. This study investigates the effectiveness of deep learning models, including Feedforward Neural Networks (FFNN), Convolutional Neural Networks (CNN), and Multilayer Perceptron (MLP), for enhancing IoT network monitoring. The models were trained using both synthetic and real-world IoT traffic datasets in MATLAB with Adam and Stochastic Gradient Descent with Momentum (SGDM) optimizers to improve convergence and training stability. Experimental results demonstrate that deep learning models outperform traditional machine learning techniques in detecting complex traffic patterns and anomalies. Among the evaluated models, CNN achieved the highest accuracy of 94%, compared with Decision Trees (78.5%) and Support Vector Machines (85.7%). CNNs effectively capture spatiotemporal traffic characteristics, while MLPs efficiently model nonlinear relationships in network data. The proposed framework provides a scalable, reliable approach to real-time IoT network monitoring.
Hybrid Harris Hawks optimization with eagle strategy particle swarm optimization for stability and disturbance rejection in tethered UAV systems Alialhadi Khaleel Ismael, Sefer Kurnaz, Noorulden Basil Scientific Reports, 2025 In the paper, a new hybrid optimization method is proposed to design an advanced attitude controller of tethered UAVs. The suggested methodology builds on the use of a Fractional-Order Proportional-Derivative-Derivative Integral (FOPDD-I) controller, which is optimized with the help of a Hybrid Harris Hawks Optimization-Eagle Strategy-Particle Swarm Optimization (HHHOESPSO) algorithm. The FOPDD-I controller is compared with Conventional PID, Cascade PID, classical Active Disturbance Rejection Control (ADRC) and Advanced ADRC methodologies. Comprehensive MATLAB simulations indicate that the FOPDD-I controller, optimized through HHHOESPSO, is more stable, responds more quickly to disturbances, and can reject disturbances better than their traditional counterparts. Significant results are a 56.5 percent increase in Kp to achieve better overall stability, a 65.2 percent increase in Ki to achieve smaller steady-state errors and better roll control and a 98.4 percent decrease in Kd to achieve smaller yaw overshoot and oscillations. Also, the fractional-order parameters are adjusted to adaptability improvement of 12.5 and 14.7 in nonlinear dynamic environment. Conversely, traditional controllers including PID and Cascade PID demonstrate only minor tuning benefits, whereas both classical and state-of-the-art ADRC approaches realize moderate performance benefits, that are not as high as the stability and responsiveness demonstrated by FOPDD-I controller. This study underscores the effectiveness of combining fractional-order control with hybrid optimization strategies, establishing the proposed FOPDD-I controller as a robust solution for tethered UAV attitude control under dynamic and uncertain conditions.
Performance analysis of hybrid optimization approach for UAV path planning control using FOPID-TID controller and HAOAROA algorithm Noorulden Basil, Abdullah Fadhil Mohammed, Bayan Mahdi Sabbar, Hamzah M. Marhoon, Adis Abebaw Dessalegn, Mohammad Alsharef, Enas Ali, Sherif S. M. Ghoneim Scientific Reports, 2025 In this study, we present a comparative analysis of various trajectory optimization algorithms for Unmanned Aerial Vehicles (UAVs) navigating complex environments. The performance of the proposed FOPID-TID based HAOAROA (Hybrid Archimedes Optimization Algorithm-Rider Optimization Algorithm) is evaluated against traditional methods such as A*, JPS, Bezier, and L-BSGF algorithms. The FOPID-TID based HAOAROA approach integrates the advantages of fractional-order control with hybrid optimization techniques to improve UAV trajectory planning. Simulation results indicate that the proposed method carries significantly better performance than the traditional algorithms with respect to trajectory length, smoothness, and overall stability. Remarkably, the FOPID-TID based HAOAROA yields a 10% reduced trajectory length that is smoother than traditional methods while also being more computationally efficient. By using fractional-order parameters, the dynamic response becomes better and better in more challenging environments. This shows that disturbance rejection and control precision using the FOPID-TID based HAOAROA are much superior to the original two subroutines. The applications presented in this study allow future growth in UAV control system improvements and provide proof of concept of hybrid optimization in improving the performance of UAVs in dynamic, complex environments.
Multi-criteria decision model for multicircular flight control of unmanned aerial vehicles through a hybrid approach Noorulden Basil, Hamzah M. Marhoon, Bayan Mahdi Sabbar, Abdullah Fadhil Mohammed, Osamah Albahri, Ahmed Albahri, Abdullah Alamoodi, Iman Mohamad Sharaf, Amare Merfo Amsal, Mahrous Ahmed, Enas Ali, Sherif S. M. Ghoneim Scientific Reports, 2025 This study presents a novel approach for optimizing UAV (unmanned aerial vehicle) Multicircular flight control by developing a fractional order proportional integral derivative (FOPID)-based hybrid Eagle strategy particle swarm optimization ant lion optimizer (HESPSOALO). The proposed algorithm combines the strengths of particle swarm optimization (PSO) and the ant lion optimizer (ALO), which are enhanced by the Eagle strategy to systematically fine-tune the FOPID controller parameters. This hybrid optimization method aims to improve system stability, responsiveness, and disturbance rejection in UAVs, particularly in challenging dynamic flight conditions. The proposed approach was validated against traditional control methods that utilize FOPID (Base), the Base HESPSOALO algorithm, the FOPID-based HPSOGWO (Hybrid Particle Swarm Optimization-Gray Wolf Optimizer), and the FOPID-based HGWOALO (Hybrid Gray Wolf Optimization-Ant Lion Optimizer) with a set of benchmark functions used in the analysis. The results demonstrate a minimization of position and angular errors, reduced oscillations, and overall improved control stability for the FOPID-based HESPSOALO compared with the other methods. Furthermore, a multicriteria decision-making (MCDM) framework is applied to evaluate the overall performance of alternative control strategies utilizing the CRiteria importance through intercriteria correlation (CRITIC) and technique of order preference by similarity to ideal solution (TOPSIS) techniques. The MCDM analysis demonstrates that among the evaluated criteria, [Formula: see text] has the highest importance, with a weight of 0.244019, whereas [Formula: see text] is deemed the least significant, with a weight of 0.161023. The ranking results reveal that the HESPSOALO algorithm (Base) is the best-performing controller method, with a ranking score of 0.571161, indicating its superior control performance across major metrics. In contrast, the FOPID + HPSOGWO controller method ranks the lowest, with a score of 0.282794. The findings have significant industrial implications, particularly in sectors where UAVs are critical for precision tasks, such as logistics, agriculture, surveillance, and environmental monitoring. By optimizing the FOPID controller parameters, the HESPSOALO algorithm enhances UAV stability, responsiveness, and reliability in dynamic environments, resulting in more precise control and robust performance under varying conditions. This improvement may reduce operational risks and maintenance costs while increasing efficiency, prolonging UAV service life, and achieving energy savings. This study provides a robust solution for UAV control based on the potential of hybrid optimization algorithms to improve UAV precision and reliability in autonomous flight.
A new novel optimization techniques implemented on the AVR control system using matlab-simulink International Journal of Advanced Science and Technology, 2020
RECENT SCHOLAR PUBLICATIONS
Understanding Large Language Models: A Review ANE Wulandari, P Purwono, A Ma’arif, N Basil, HM Marhoon Control Systems and Optimization Letters 4 (2), 143-151 , 2026 2026
Deep Learning-Based Monitoring System to Enhance IoT Network Performance RS Issa, GA Aramice, N Basil, MM Ali, TF Agajie, A Ma’arif Journal of Engineering and Sustainable Development 30 (3), 434-445 , 2026 2026
Towards Intelligent Control Architectures: A Systematic Review of Internet of Things Applications in Control Systems HM Marhoon, H Al-Rammahi, N Basil, N Qasem, BM Tarik Iraqi Journal of Information and Communication Technology 9 (1), 1-29 , 2026 2026
Evaluation of a 3-DOF helicopter dynamic control model using FOPID controller-based three optimization algorithms N Basil, HM Marhoon, AF Mohammed International Journal of Information Technology 18 (1), 213-222 , 2026 2026 Citations: 42
Safety and Surveillance on Unmanned Aerial Vehicles Control Systems and Optimization Methods: A Systematic Review HM Marhoon, BM Sabbar, N Qasem, N Basil, A Ma'arif International Journal of Robotics and Control Systems 5 (5), 2589-2611 , 2025 2025 Citations: 2
Hybrid Harris Hawks optimization with eagle strategy particle swarm optimization for stability and disturbance rejection in tethered UAV systems AK Ismael, S Kurnaz, N Basil Scientific Reports 15 (1), 39866 , 2025 2025 Citations: 6
Metaheuristic-Driven Optimisation of Support Vector Regression Models for Precision Control in Unmanned Aerial Vehicle Systems HM Marhoon, RK Omar, H Al-Rammahi, SO Al-Tahir, N Basil, BM Tarik, ... Buletin Ilmiah Sarjana Teknik Elektro 7 (3), 608-624 , 2025 2025 Citations: 5
A Systematic Design of a Low-Cost Real-Time Vehicle Tracking System for Enhanced Security and Location Monitoring HM Marhoon, SA Sabah, N Basil, BM Tarik, RJ Mohammed, RF Abbas Control Systems and Optimization Letters 3 (3), 288-299 , 2025 2025
Medical Defense Nanorobots (MDNRs): a new evaluation and selection of controller criteria for improved disease diagnosis and patient safety using NARMA (L2)-FOP+ D (ANFIS) µ–Iλ … HM Marhoon, N Basil, AF Mohammed International Journal of Information Technology 17 (7), 3935-3945 , 2025 2025 Citations: 42
Jaya optimization algorithm implemented on a new novel design of 6-DOF AUV body: a case study N Basil, HM Marhoon, S Gokulakrishnan, D Buddhi Multimedia Tools and Applications 84 (29), 35151-35176 , 2025 2025 Citations: 67
A Comparative Study of Fuzzy Logic Controller, ANFIS, and HHOPSO Algorithms in the LEACH Protocol for Optimising Energy Efficiency and Network Longevity in Wireless Sensor … ZS Bakr, RF Hassan, SO Al-Tahir, N Basil, A Ma'arif, HM Marhoon International Journal of Robotics & Control Systems 5 (3) , 2025 2025 Citations: 9
Accelerated black hole optimization algorithm with enhanced FOPID controller for omni-wheel drive mobile robot system N Basil, HM Marhoon, DF Sahib, AF Mohammed, HM Ridha, A Ma’arif Neural Computing and Applications 37 (21), 16983-17014 , 2025 2025 Citations: 26
Transformer models in deep learning: Foundations, advances, challenges and future directions IS Mangkunegara, P Purwono, A Ma’arif, N Basil, HM Marhoon, ... Buletin Ilmiah Sarjana Teknik Elektro 7 (2), 231-241 , 2025 2025 Citations: 10
Multi-criteria decision model for multicircular flight control of unmanned aerial vehicles through a hybrid approach N Basil, HM Marhoon, BM Sabbar, AF Mohammed, O Albahri, A Albahri, ... Scientific Reports 15 (1), 18962 , 2025 2025 Citations: 27
Performance analysis of hybrid optimization approach for UAV path planning control using FOPID-TID controller and HAOAROA algorithm N Basil, AF Mohammed, BM Sabbar, HM Marhoon, AA Dessalegn, ... Scientific Reports 15 (1), 4840 , 2025 2025 Citations: 62
A Hybrid Archimedes-Black Hole Optimization Algorithm for Trajectory Planning and Controller Design in Autonomous Underwater Vehicle Control Systems HM Marhoon, N Basil, RK Omar Journal of Robotics and Control (JRC) 6 (6), 3214-3238 , 2025 2025
Systematic review of unmanned aerial vehicles control: challenges, solutions, and meta-heuristic optimization N Basil, BM Sabbar, HM Marhoon, AF Mohammed, A Ma'arif International Journal of Robotics and Control Systems 4 (4), 1794-1818 , 2024 2024 Citations: 51
Correction to: selection and evaluation of FOPID criteria for the X-15 adaptive flight control system (AFCS) via Lyapunov candidates: Optimizing trade-offs and critical values … N Basil, HM Marhoon e-Prime-Advances in Electrical Engineering, Electronics and Energy 8, 100589 , 2024 2024 Citations: 35
Black-hole optimisation algorithm with FOPID-based automation intelligence photovoltaic system for voltage and power issues N Basil, HM Marhoon, MR Hayal, EE Elsayed, I Nurhidayat, MA Shah Australian Journal of Electrical and Electronics Engineering 21 (2), 115-127 , 2024 2024 Citations: 50
A New Hybrid Intelligent Fractional Order Proportional Double Derivative+ Integral (FOPDD+ I) Controller with ANFIS Simulated on Automatic Voltage Regulator System. AF Mohammed, HM Marhoon, N Basil, A Ma'arif International Journal of Robotics & Control Systems 4 (2) , 2024 2024 Citations: 51
MOST CITED SCHOLAR PUBLICATIONS
Automation intelligence photovoltaic system for power and voltage issues based on Black Hole Optimization algorithm with FOPID FS Raheem, N Basil Measurement: Sensors 25, 100640 , 2023 2023 Citations: 82
Jaya optimization algorithm implemented on a new novel design of 6-DOF AUV body: a case study N Basil, HM Marhoon, S Gokulakrishnan, D Buddhi Multimedia Tools and Applications 84 (29), 35151-35176 , 2025 2025 Citations: 67
Performance analysis of hybrid optimization approach for UAV path planning control using FOPID-TID controller and HAOAROA algorithm N Basil, AF Mohammed, BM Sabbar, HM Marhoon, AA Dessalegn, ... Scientific Reports 15 (1), 4840 , 2025 2025 Citations: 62
Rider Optimization Algorithm implemented on the AVR Control System using MATLAB with FOPID NB Mohamadwasel IOP conference series: materials science and engineering 928 (3), 032017 , 2020 2020 Citations: 58
Implementation of the parallel robot using FOPID with fuzzy type-2 in use social spider optimization algorithm NB Mohamadwasel, S Kurnaz Applied Nanoscience 13 (2), 1-11 , 2021 2021 Citations: 56
Towards evaluation of the PID criteria based UAVs observation and tracking head within resizable selection by COA algorithm N Basil, HM Marhoon Results in Control and Optimization 12, 100279 , 2023 2023 Citations: 54
Systematic review of unmanned aerial vehicles control: challenges, solutions, and meta-heuristic optimization N Basil, BM Sabbar, HM Marhoon, AF Mohammed, A Ma'arif International Journal of Robotics and Control Systems 4 (4), 1794-1818 , 2024 2024 Citations: 51
A New Hybrid Intelligent Fractional Order Proportional Double Derivative+ Integral (FOPDD+ I) Controller with ANFIS Simulated on Automatic Voltage Regulator System. AF Mohammed, HM Marhoon, N Basil, A Ma'arif International Journal of Robotics & Control Systems 4 (2) , 2024 2024 Citations: 51
Evaluation of autonomous underwater vehicle motion trajectory optimization algorithms N Basil, ME Alqaysi, M Deveci, AS Albahri, OS Albahri, AH Alamoodi Knowledge-Based Systems 276, 110722 , 2023 2023 Citations: 51
Black-hole optimisation algorithm with FOPID-based automation intelligence photovoltaic system for voltage and power issues N Basil, HM Marhoon, MR Hayal, EE Elsayed, I Nurhidayat, MA Shah Australian Journal of Electrical and Electronics Engineering 21 (2), 115-127 , 2024 2024 Citations: 50
Selection and evaluation of FOPID criteria for the X-15 adaptive flight control system (AFCS) via Lyapunov candidates: Optimizing trade-offs and critical values using … N Basil, HM Marhoon e-Prime-advances in electrical engineering, electronics and energy 6, 100305 , 2023 2023 Citations: 49
A new novel optimization techniques implemented on the AVR control system using MATLAB-SIMULINK YR Mohammed, N Basil, O Bayat, A Hamid Int. J. Adv. Sci. Technol 29 (5), 4515-4521 , 2020 2020 Citations: 49
Enhancement of electro hydraulic position servo control system utilising ant lion optimiser N Basil International Journal of Nonlinear Analysis and Applications , 2021 2021 Citations: 48
NB theory with bargaining problem: a new theory NB Mohamadwasel, A Ma'arif International Journal of Robotics and Control Systems 2 (3), 606-609 , 2022 2022 Citations: 46
Implementation enhancement of AVR control system within optimization techniques AR Ibrahim, N Basil, MI Mahdi International Journal of Nonlinear Analysis and Applications 12 (2) , 2021 2021 Citations: 44
Evaluation of a 3-DOF helicopter dynamic control model using FOPID controller-based three optimization algorithms N Basil, HM Marhoon, AF Mohammed International Journal of Information Technology 18 (1), 213-222 , 2026 2026 Citations: 42
Medical Defense Nanorobots (MDNRs): a new evaluation and selection of controller criteria for improved disease diagnosis and patient safety using NARMA (L2)-FOP+ D (ANFIS) µ–Iλ … HM Marhoon, N Basil, AF Mohammed International Journal of Information Technology 17 (7), 3935-3945 , 2025 2025 Citations: 42
A new thrust vector-controlled rocket based on JOA using MCDA N Basil, HM Marhoon, AR Ibrahim Measurement: Sensors 26, 100672 , 2023 2023 Citations: 41
Selection and evaluation of robotic arm based conveyor belts (RACBs) motions: NARMA (L2)-FO (ANFIS) PD-I based Jaya optimization algorithm AF Mohammed, N Basil, RB Abdulmaged, HM Marhoon, HM Ridha, ... International Journal of Robotics and Control Systems 4 (1), 262-290 , 2024 2024 Citations: 40
Design and simulation of a compact metal-graphene frequency reconfigurable microstrip patch antenna with FSS superstrate for 5G applications HM Marhoon, N Qasem, N Basil, AR Ibrahim International Journal on Engineering Applications (IREA) 10 (3), 193-201 , 2022 2022 Citations: 40